Agricultural and Biological Sciences, Soil Science, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics
115
Scopus Publications
6183
Scholar Citations
40
Scholar h-index
104
Scholar i10-index
Scopus Publications
Decarbonization from Agriculture and Voluntary Carbon Markets across the World: Opportunities and Challenges (review) R. Tripathi, A. N. Nayak, A. K. Gouda, S. Priyadarshini, S. S. Jena, S. R. Sahu Eurasian Soil Science, 2026 Abstract Agriculture not only contributes significantly to Carbon Dioxide (CO2), methane (CH4) and nitrous oxide (N2O) gas emissions but also acts as their mitigating agent. Carbon (C) credits have emerged as an important economic tool that links environmental sustainability with finance. Incentives are provided to individuals, organisations and various industries with each credit represented by one metric ton of carbon dioxide equivalent (CO2e) removed. They allow the institutions to invest in climate smart practices. Environmentally sustainable methods such as direct-seeded rice (DSR) and alternating wetting and drying (AWD), application of biochar and integrated nutrient management practices help in enhancing soil carbon, methane reduction and improving soil health simultaneously. Verra’s Certified Carbon Standard (VCS) and the Gold Standard (GS) are worldwide frameworks that govern voluntary carbon market (VCM). VCM, while its advantages, has challenges in maintaining trust via rigorous monitoring, reporting and verification (MRV) systems. However, the addition of advanced technological interventions such as remote sensing, artificial intelligence and blockchain technology enhance the transparency and ensure additionality along with making VCM accessible to smallholders. So, the participation of agriculture in carbon market is not just a financial mechanism, but a demonstration of global responsibility. This review throws light on the relationship among decarbonization, VCM and carbon credit generation, emphasizing on enhancement of food security along with restoration of ecosystem and contribution towards global climate goals through sustainable land-use practices.
Life Cycle Greenhouse Gas Emissions of the Indian Food System: A Cradle-to-Consumption Assessment Supriya Priyadarsani, Manish Debnath, Jaiprakash Bisen, Rahul Tripathi, Sangita Mohanty, Nitiprasad Namdeorao Jambulkar, Amaresh Kumar Nayak, Himanshu Pathak Greenhouse Gases Science and Technology, 2026 The global food system accounts for roughly 25%–30% of total greenhouse gas (GHG) emissions. Without emission estimates, it is difficult to identify major sources of emissions as well as monitor the progress towards climate goals such as the Paris Agreement, net‐zero emissions and Carbon Credit. The rapidly evolving food system of India is contributing significantly to national GHG emissions; nevertheless, a comprehensive understanding of emissions across the food life cycle is still limited. Present study was undertaken to analyse state‐wise GHG emissions from on‐farm and off‐farm activities as well as various stages of agri‐food life cycle. For this, data pertaining to consumption of 12 major food groups (combination of 405 food items) across 30 states of India was extracted from NSSO report 2022–23, and different methodologies were used for getting GHG emissions at each stage of agri‐food life cycle. Findings indicated that production of livestock products, though less consumed than cereals, has disproportionately higher GHG intensities (89.81%) than crops (10.19%) due to enteric fermentation and feed production. Life cycle assessment (LCA) indicated that among all food crops, production of rice contributed to 2.26% followed by oilseeds (2.20%) and least by wheat (0.55%) towards GHG emission. Emission from other stages like transport of rice was highest (24%) followed by fruits (19%) and meat (10%), respectively. Regional disparities in dietary patterns and agricultural practices further influenced the emission profiles. Considering the production scenario, the top four GHG emitters (from production scenario) were Haryana (2079.44) > Telangana (1934.49) > Andhra Pradesh (1873.37) > Punjab (1844.72 kg CO 2 e/capita/year). In case of consumption the trend was Nagaland (1387.38 kg CO2e/capita/year) > Sikkim (1304.09 kg CO2/capita/year) > Ladakh (1085.11 kg CO2e/capita/year) > Arunachal Pradesh (1055.36 kg CO 2 e/capita/year) due to high per capita consumption of meat and rice. GHG emissions resulting from inter‐state transport to the union territories ranged between 0.886 and 1.734 kg CO 2 e/kg of product, highlighting their substantial dependence on external food sources. This study focused on the potential of dietary shifts, improved agricultural practices and reduced food waste as key mitigation strategies. These insights will provide critical direction for low‐carbon food system transitions in developing economies.
Predicting Nitrogen Content in Rice Using Unmanned Aerial Vehicle Based Multispectral Imaging Rahul Tripathi, Bismay Ranjan Tripathy, Shiv Sundar Jena, Chinmaya Kumar Swain, Sangita Mohanty, Rabi Narayan Sahoo, Shyamsundar Das Mohapatra, Amaresh Kumar Nayak Clean Soil Air Water, 2025 Precise estimation of rice nitrogen (N) content is essential for optimizing fertilizer use. Traditional methods for estimating N content are time‐consuming, laborious, and costly. Unmanned aerial vehicles (UAVs) are time and money efficient substitutes allowing more accurate and flexible monitoring for larger rice areas. The objectives of this study were to: (i) develop random forest (RF) and artificial neural network (ANN) models for predicting and mapping the nitrogen content (%) in rice using seven vegetation indices derived from UAV multispectral sensors and; (ii) assess the key vegetation indices (VI) and their interrelationships with the predicted nitrogen content. Experiments were conducted at two locations in Cuttack district of Odisha, India, with different nitrogen levels. The UAV images were collected synchronizing with the maximum tillering stage of rice and seven indices were generated. The rice sampling was done on the date of flying UAV images and nitrogen content was estimated in the laboratory. RF and ANN models were developed using the N content as dependent and the VIs as independent variables. Both the models exhibited robust predictive capabilities, however, the RF model exhibited better performance, compared to the ANN model. Nitrogen content prediction using the developed RF and ANN models in testing site at farmer's field ranged from 0.78% to 1.95% ( R 2 of 0.67%) and from 0.5% to 1.78% ( R 2 of 0.55%), respectively. Normalized difference red edge (NDRE) and normalized difference vegetation index (NDVI) turned out as significant contributors in the development of both the models.
Multi-criteria assessment of climate smartness in rice-based cropping systems Kiran Kumar Mohapatra, Amaresh Kumar Nayak, Ranjan Kumar Patra, Rahul Tripathi, Chinmaya Kumar Swain, Prasannajit Mishra, Manoranjan Satapathy, Rasu Eeswaran, Saheed Garnaik Farming System, 2025 Rice is one of the major staple food grains in the world and because of its higher water requirement, rice production is heavily threatened by climate change and extremes. As global warming and climate variabilities increasingly affect most of the rice growing regions including India, it is vital to introduce alternative options to rice-rice monocropping. To address this issue, we developed a climate smart index (CSI) to evaluate the climate smartness of different cropping systems such as, rice-sunflower (R-S), rice-maize (R-M), rice-black gram (R-BG) and rice-green gram (R-GG) compared to a conventional rice-rice (R-R) system grown in the eastern coastal belt of India. Diversifying rice-based cropping systems with legumes and sunflower significantly enhanced system productivity and the partial factor productivity of nitrogen by 33–41% and 40–45%, respectively over the rice-rice cropping system. Further, these systems reduced the global warming potential (GWP) by 46.3–51% compared to the rice-rice system. The soil organic carbon content increased by about 5–7 % due to the adoption of pulse crops. The climate-smart index for rice-sunflower (R-S), rice-black gram (R-BG), rice-green gram (R-GG), and rice-maize (R-M) systems were found to be higher than the rice-rice (R-R) system by 26.5%, 18.7%, 18.7%, and 14.9% respectively, on average across seasons. Hence, incorporating legumes and oilseed crops during the dry/minor seasons of the year in rice-based cropping systems can be proposed as a climate-smart alternative. Further, we propose conducting large-scale assessments of these cropping systems using spatial data to deliver decision tools for regional planning and policy formulation in agriculture .
Nitrogen use efficiency of rice in India: A regional analysis Sangita Mohanty, Amaresh Kumar Nayak, Rahul Tripathi, Debarati Bhaduri, Dibyendu Chatterjee, Anjani Kumar, Mohammad Shahid, Upendra Kumar, Sushmita Munda, Gaban Mandi, Himanshu Pathak International Journal of Sustainable Development and World Ecology, 2023
Eco-efficiency and technical efficiency of different integrated farming systems in eastern India A. K. Nayak, Rahul Tripathi, B. Dhal, A. D. Nayak, S. Vijayakumar, B. Satpathy, D. Chatterjee, C. K. Swain, K. C. Moharana, P. K. Nayak, Annie Poonam, Sangita Mohanty, M. Shahid, Anjani Kumar, B. Mondal, B. B. Panda, A. K. Patra, S. K. Swain, H. Pathak International Journal of Agricultural Sustainability, 2023
Impact of Land Use and Land Cover Change on Ecosystem Services in Eastern Coast of India Rahul Tripathi, Khitish Chandra Moharana, Sangita Mohanty, Suchismita Pattnaik, Dibyendu Chatterjee, Chinmaya Kumar Swain, Anjani Kumar, Prafulla Kumar Nayak, Bipin Bihari Panda, Debarti Bhaduri, Sushmita Munda, Rubina Khanam, Supriya Priyadarsani, Mohammad Shahid, Biswajit Mondal, Amaresh Kumar Nayak International Journal of Environmental Research, 2022
Direct seeded rice: A potential climate-neutral and resilient farming system Anjani Kumar, Amaresh Kumar Nayak, Mehreteab Tesfai, Rahul Tripathi, Sangita Mohanty, Shyamaranjan Das Mohapatra, Kiran Mohapatra, Udaya Sekhar Nagothu Climate Neutral and Resilient Farming Systems Practical Solutions for Climate Mitigation and Adaptation, 2022
Assessment of ecosystem services of rice farms in eastern India A. K. Nayak, Md Shahid, A. D. Nayak, B. Dhal, K. C. Moharana, B. Mondal, R. Tripathi, S. D. Mohapatra, P. Bhattacharyya, N. N. Jambhulkar, A. K. Shukla, Nuala Fitton, Pete Smith, H. Pathak Ecological Processes, 2019
Characterization of land surface energy fluxes in a tropical lowland rice paddy Dibyendu Chatterjee, Rahul Tripathi, Sumanta Chatterjee, Manish Debnath, Mohammad Shahid, Pratap Bhattacharyya, Chinmaya Kumar Swain, Rojalin Tripathy, Bimal K. Bhattacharya, Amaresh Kumar Nayak Theoretical and Applied Climatology, 2019
Long-term effect of rice-based farming systems on soil health Priyanka Bihari, A. K. Nayak, Priyanka Gautam, B. Lal, M. Shahid, R. Raja, R. Tripathi, P. Bhattacharyya, B. B. Panda, S. Mohanty, K. S. Rao Environmental Monitoring and Assessment, 2015
Effect of fly ash deposition on photosynthesis, growth and yield of rice R. Raja, A. K. Nayak, K. S. Rao, Chandrika Puree, Mohammad Shahid, B. B. Panda, Anjani Kumar, R. Tripathi, P. Bhattacharyya, M. J. Baig, B. Lal, Sangita Mohanty, Priyanka Gautam Bulletin of Environmental Contamination and Toxicology, 2014
Retrieval of leaf area index using IRS-P6, LISS-III data and validation of MODIS LAI product (MOD15 V5) over trans gangetic plains of India Indian Journal of Agricultural Sciences, 2013
Decarbonization from Agriculture and Voluntary Carbon Markets across the World: Opportunities and Challenges R Tripathi, AN Nayak, AK Gouda, S Priyadarshini, SS Jena, SR Sahu Eurasian Soil Science 59 (6), 106 , 2026 2026
Assessing energy fluxes of lowland rice fields using four-year eddy covariance data D Chatterjee, A Pradhan, CK Swain, R Alam, R Tripathi, P Bhattacharyya International Journal of Biometeorology 70 (5), 132 , 2026 2026
Life Cycle Greenhouse Gas Emissions of the Indian Food System: A Cradle‐to‐Consumption Assessment S Priyadarsani, M Debnath, J Bisen, R Tripathi, S Mohanty, NN Jambulkar, ... Greenhouse Gases: Science and Technology, e70020 , 2026 2026
Mapping agricultural vulnerability to climate-driven drought using the TOPSIS model KK Mohapatra, AK Nayak, RK Patra, R Tripathi, CK Swain, R Eeswaran, ... Theoretical and Applied Climatology 157 (3), 171 , 2026 2026
Crop modelling for impact assessment and identifying adaptation strategies under changing climate scenarios: a comprehensive review R Tripathi, RR Mohapatra, SR Sahu, BR Goud, M Debnath, ... Proceedings of the Indian National Science Academy, 1-19 , 2026 2026
Prediction of rice yield using sensors mounted on unmanned aerial vehicle R Tripathi, BR Tripathy, SS Jena, CK Swain, S Mohanty, RN Sahoo, ... Agricultural Research 14 (4), 835-845 , 2025 2025 Citations: 7
Elevated atmospheric CO2 enhances submergence tolerance in Sub1 introgressed rice varieties and their recurrent parents A Kumar, AK Nayak, S Mohanty, K Chakraborty, RP Sah, R Tripathi, ... Plant Physiology and Biochemistry, 110761 , 2025 2025
Climate-Smart Rice Establishment Methods Using the Climate Smart Index for Sustainable Rice Production K Mohapatra, AK Nayak, RK Patra, R Tripathi, HS Jatav MDPI , 2025 2025
Predicting Nitrogen Content in Rice Using Unmanned Aerial Vehicle Based Multispectral Imaging R Tripathi, BR Tripathy, SS Jena, CK Swain, S Mohanty, RN Sahoo, ... CLEAN–Soil, Air, Water 53 (10), e70048 , 2025 2025
Soil carbon and nitrogen dynamics under conservation agriculture components for direct seeded rice-green gram system G Patra, D Chatterjee, KC Moharana, BK Nayak, R Tripathi, M Shahid, ... Plant and Soil 513 (2), 2471-2487 , 2025 2025 Citations: 8
Rice yield prediction using UAV-mounted RGB sensors and machine learning algorithms R Tripathi, AK Gouda, SS Jena, RR Mohapatra, MK Lal, SK Dash, ... Proceedings of the Indian National Science Academy, 1-16 , 2025 2025 Citations: 4
Drone and Sensors for Non-contact Estimation of Soil and Plant Attributes R Tripathi, SS Jena, AK Gouda, CK Swain, BR Tripathy, S Mohanty, ... CRRI Research Bulletin No 61; ICAR-Central Rice Research Institute, 1-40 , 2025 2025
Multi-criteria assessment of climate smartness in rice-based cropping systems KK Mohapatra, AK Nayak, RK Patra, R Tripathi, CK Swain, P Mishra, ... Farming System 3 (2), 100135 , 2025 2025 Citations: 7
Blending Traditional Knowledge of Farmers in Agriculture with Modern Scientific Technologies in Stress-Prone Ecologies of Odisha AK Nayak, SK Mishra, BS Satapathy, A Kumar, R Tripathi Blending Indian Farmers' Traditional Knowledge in Agriculture with Modern … , 2025 2025
Quantifying climate influence on net ecosystem exchange in lowland tropical rice: a five-year eddy covariance study CK Swain, AK Nayak, D Chatterjee, S Pattanaik, V Shanmugam, ... Agricultural Research 14 (1), 212-228 , 2025 2025 Citations: 2
Multi-criteria assessment of climate smartness in rice-based cropping systems K Kumar Mohapatra, A Nayak, R Patra, R Tripathi, C Swain, P Mishraa, ... Elsevier , 2025 2025
Delineating Homogeneous Management Zones for Nutrient Management in Rice Cultivated Area of Eastern India R Tripathi, BR Tripathy, AK Gouda, CK Swain, S Mohanty, AK Nayak Journal of Soil Science and Plant Nutrition 24 (4), 8331-8342 , 2024 2024 Citations: 5
Estimating Soil Organic Carbon Using Sensors Mounted on Unmanned Aircraft System and Machine Learning Algorithms R Tripathi, SS Jena, CK Swain, G Dutta, BR Tripathy, S Mohanty, PC Jena, ... Journal of the Indian Society of Remote Sensing 52 (11), 2521-2529 , 2024 2024
Predicting chlorophyll and nitrogen content in rice using multiple regression models R Tripathi, S Mohanty, CK Swain, S Das, P Nayak, KC Moharana, ... Journal of Plant Nutrition 47 (6), 881-904 , 2024 2024 Citations: 12
Rice-based integrated farming system improves the soil quality, bacterial community structure and system productivity under sub-humid tropical condition PK Nayak, AK Nayak, BB Panda, A Senapati, P Panneerselvam, A Kumar, ... Environmental Geochemistry and Health 46 (2), 65 , 2024 2024 Citations: 11
MOST CITED SCHOLAR PUBLICATIONS
Metal (loid) s (As, Hg, Se, Pb and Cd) in paddy soil: Bioavailability and potential risk to human health R Khanam, A Kumar, AK Nayak, M Shahid, R Tripathi, S Vijayakumar, ... Science of the Total Environment 699, 134330 , 2020 2020 Citations: 489
Variation of functional diversity of soil microbial community in sub-humid tropical rice-rice cropping system under long-term organic and inorganic fertilization U Kumar, M Shahid, R Tripathi, S Mohanty, A Kumar, P Bhattacharyya, ... Ecological indicators 73, 536-543 , 2017 2017 Citations: 252
Soil aggregation and distribution of carbon and nitrogen in different fractions after 41 years long-term fertilizer experiment in tropical rice-rice system R Tripathi, AK Nayak, P Bhattacharyya, AK Shukla, M Shahid, R Raja, ... Geoderma 213 (2014), 280-286 , 2014 2014 Citations: 233
Current and emerging methodologies for estimating carbon sequestration in agricultural soils: A review AK Nayak, MM Rahman, R Naidu, B Dhal, CK Swain, AD Nayak, ... Science of the total environment 665, 890-912 , 2019 2019 Citations: 216
Continuous application of inorganic and organic fertilizers over 47 years in paddy soil alters the bacterial community structure and its influence on rice production U Kumar, AK Nayak, M Shahid, VVSR Gupta, P Panneerselvam, ... Agriculture, Ecosystems & Environment 262, 65-75 , 2018 2018 Citations: 200
Effect of fly ash application on soil microbial response and heavy metal accumulation in soil and rice plant AK Nayak, R Raja, KS Rao, AK Shukla, S Mohanty, M Shahid, R Tripathi, ... Ecotoxicology and environmental safety 114, 257-262 , 2015 2015 Citations: 175
Energy and carbon budgeting of tillage for environmentally clean and resilient soil health of rice-maize cropping system B Lal, P Gautam, AK Nayak, BB Panda, P Bihari, R Tripathi, M Shahid, ... Journal of Cleaner Production 226, 815-830 , 2019 2019 Citations: 166
Carbon and nitrogen mineralization kinetics in soil of rice–rice system under long term application of chemical fertilizers and farmyard manure S Mohanty, AK Nayak, A Kumar, R Tripathi, M Shahid, P Bhattacharyya, ... European Journal of Soil Biology 58, 113-121 , 2013 2013 Citations: 161
Greenhouse gas emission in relation to labile soil C, N pools and functional microbial diversity as influenced by 39 years long-term fertilizer management in tropical rice P Bhattacharyya, AK Nayak, S Mohanty, R Tripathi, M Shahid, A Kumar, ... Soil and Tillage Research 129, 93-105 , 2013 2013 Citations: 153
Micronutrients (Fe, Mn, Zn and Cu) balance under long-term application of fertilizer and manure in a tropical rice-rice system M Shahid, AK Shukla, P Bhattacharyya, R Tripathi, S Mohanty, A Kumar, ... Journal of soils and sediments 16 (3), 737-747 , 2016 2016 Citations: 141
Carbon and nitrogen fractions and stocks under 41 years of chemical and organic fertilization in a sub-humid tropical rice soil M Shahid, AK Nayak, C Puree, R Tripathi, B Lal, P Gautam, ... Soil and Tillage Research 170, 136-146 , 2017 2017 Citations: 139
Effects of 42-year long-term fertilizer management on soil phosphorus availability, fractionation, adsorption–desorption isotherm and plant uptake in flooded tropical rice P Bhattacharyya, AK Nayak, M Shahid, R Tripathi, S Mohanty, A Kumar, ... The Crop Journal 3 (5), 387-395 , 2015 2015 Citations: 138
Delineation of soil management zones for a rice cultivated area in eastern India using fuzzy clustering R Tripathi, AK Nayak, M Shahid, B Lal, P Gautam, R Raja, S Mohanty, ... Catena 133, 128-136 , 2015 2015 Citations: 133
Ecological mechanism and diversity in rice based integrated farming system PK Nayak, AK Nayak, BB Panda, B Lal, P Gautam, A Poonam, M Shahid, ... Ecological Indicators 91, 359-375 , 2018 2018 Citations: 126
Long‐term effects of fertilizer and manure applications on soil quality and yields in a sub‐humid tropical rice‐rice system M Shahid, AK Nayak, AK Shukla, R Tripathi, A Kumar, S Mohanty, ... Soil Use and Management 29 (3), 322-332 , 2013 2013 Citations: 125
Comparative assessment of urea briquette applicators on greenhouse gas emission, nitrogen loss and soil enzymatic activities in tropical lowland rice D Chatterjee, S Mohanty, PK Guru, CK Swain, R Tripathi, M Shahid, ... Agriculture, ecosystems & environment 252, 178-190 , 2018 2018 Citations: 104
Impact of integrated nutrient management options on GHG emission, N loss and N use efficiency of low land rice S Mohanty, AK Nayak, CK Swain, BR Dhal, A Kumar, U Kumar, R Tripathi, ... Soil and Tillage Research 200, 104616 , 2020 2020 Citations: 103
Dynamics of soil organic carbon mineralization and C fractions in paddy soil on application of rice husk biochar S Munda, D Bhaduri, S Mohanty, D Chatterjee, R Tripathi, M Shahid, ... Biomass and bioenergy 115, 1-9 , 2018 2018 Citations: 100
Characterizing spatial variability of soil properties in salt affected coastal India using geostatistics and kriging R Tripathi, AK Nayak, M Shahid, R Raja, BB Panda, S Mohanty, A Kumar, ... Arabian Journal of Geosciences 8 (12), 10693-10703 , 2015 2015 Citations: 98
Eco-regional rice farming for enhancing productivity, profitability and sustainability H Pathak, R Tripathi, NN Jambhulkar, JP Bisen, BB Panda NRRI research bulletin 22, 28 , 2020 2020 Citations: 97
